Sparse Signal Decomposition Techniques For Multimedia Fingerprinting

This dissertation focuses on digital multimedia content protection from the copyright point of view. Several approaches aiming to resolve the challenge to some extent in the emerging area of multimedia protection were proposed and studied. This study proposes an approach to secure the authorized media sharing in Peer-to-Peer (P2P) networks. The P2P networks was initially designed for bandwidth saving, but its file sharing property was later on put to use for pirate. This situation has not been improved effectively until now. The approach aims to embed an unique-mark (fingerprint) into each authorized copy in the P2P networks so that it can be used to track the pirate initiator. This study also proposes another scheme for protecting the ownership of digital media files that have been circulated without copyright mark embedded. To protect this type of files, the ownership of each file needs to be stored associated with its meta-data (such as the ownership, title and artist) and can be identified correctly later on. Since the size and the number of the media files to be stored are extremely large, the mini versions (fingerprints) of the files become necessary to be derived. The common criteria of designing these two approaches are to ensure the fingerprint is compact, robust, discriminative, and ease of computation. To well balance the criteria, the sparse decomposition techniques play a very important role. The results of the tests under various distortions show the proposed fingerprinting schemes are very promising for real applications.

Sparse Signal Decomposition Techniques For Multimedia Fingerprinting

This dissertation focuses on digital multimedia content protection from the copyright point of view. Several approaches aiming to resolve the challenge to some extent in the emerging area of multimedia protection were proposed and studied. This study proposes an approach to secure the authorized media sharing in Peer-to-Peer (P2P) networks. The P2P networks was initially designed for bandwidth saving, but its file sharing property was later on put to use for pirate. This situation has not been improved effectively until now. The approach aims to embed an unique-mark (fingerprint) into each authorized copy in the P2P networks so that it can be used to track the pirate initiator. This study also proposes another scheme for protecting the ownership of digital media files that have been circulated without copyright mark embedded. To protect this type of files, the ownership of each file needs to be stored associated with its meta-data (such as the ownership, title and artist) and can be identified correctly later on. Since the size and the number of the media files to be stored are extremely large, the mini versions (fingerprints) of the files become necessary to be derived. The common criteria of designing these two approaches are to ensure the fingerprint is compact, robust, discriminative, and ease of computation. To well balance the criteria, the sparse decomposition techniques play a very important role. The results of the tests under various distortions show the proposed fingerprinting schemes are very promising for real applications.

Hybrid Crypto Techniques for Secured Multimedia Big Data Content Protection System (SMBDCPS)

Most of the existing work does not ensure the optimal and secured storage maintenance of big data. This is resolved in the proposed research method name called secured multimedia big data content protection system (SMBDCPS). The proposed scheme has using AES and SHA-256 hybrid mechanism for securing the keys of encryption and decryption. This method has integrated the key value of AES and SHA-256 together to generate the new key value for increasing the security level. The main advantage of the proposed scheme has required only small storage which is computation efficient. The overall performance of the proposed scheme has carried out on MATLAB simulation environment over the medical health care datasets. The performance proves the proposed scheme has yield better results than the existing scheme.

A Novel Improved Reversible Visible Image Watermarking Algorithm Based on Grad-CAM and JND

With the rapid access convenience of content brought by 5G technology, the integrity protection of content becomes more important. The reversible visible watermarking algorithm has attracted more attention due to its effective content protection. In this paper, a novel improved reversible visible image watermarking scheme based on gradient-weighted class activation mapping (Grad-CAM) and the just noticeable difference (JND) model has been presented. The proposed region of interest (ROI) selection strategy is used to locate the main protected body of images for watermark embedding. Divide the watermark and ROI into nonoverlapping blocks in the same way and then embed the classified two types of watermark blocks into corresponding ROI blocks with the JND model. The optimal bit positions for watermark embedding can be selected adaptively with JND threshold and achieve the tradeoff between the watermark visibility and watermarked image quality. For lossless image recovery and watermark extraction, the recovery information is reversibly hidden into watermarked image. In the experiments, the same process of grayscale images is used to each channel separately for color images watermarking. Besides, there are six aspects in this paper to estimate the proposed scheme; with the comparison to other reversible visible watermarking schemes, experimental results demonstrate the effectiveness of our proposed scheme.

Blockchain-Based Multimedia Content Protection: Review and Open Challenges

In this paper, we provide a holistic survey of multimedia content protection applications in which blockchain technology is being used. A taxonomy is developed to classify these applications with reference to the technical aspects of blockchain technology, content protection techniques, namely, encryption, digital rights management, digital watermarking and fingerprinting (or transaction tracking), and performance criteria. The study of the literature reveals that there is currently no complete and systematic taxonomy dedicated to blockchain-based copyright protection applications. Moreover, the number of successfully developed blockchain-based content protection systems is very low. This points towards a research gap. To fill this gap, we propose a taxonomy that integrates technical aspects and application knowledge and can guide the researchers towards the development of blockchain-based multimedia copyright protection systems. Furthermore, the paper discusses some technical challenges and outlines future research directions.

A Watermarking Protocol Based on Blockchain

Digital watermarking can be used to implement mechanisms aimed at protecting the copyright of digital content distributed on the Internet. Such mechanisms support copyright identification and content tracking by enabling content providers to embed perceptually invisible watermarks into the distributed copies of content. They are employed in conjunction with watermarking protocols, which define the schemes of the web transactions by which buyers can securely purchase protected digital content distributed by content providers. In this regard, the “buyer friendly” and “mediated” watermarking protocols can ensure both a correct content protection and an easy participation of buyers in the transactions by which to purchase the distributed content. They represent a valid alternative to the classic “buyer and seller” watermarking protocols documented in the literature. However, their protection schemes could be further improved and simplified. This paper presents a new watermarking protocol able to combine the “buyer friendly” and “mediated” design approach with the blockchain technology. The result is a secure protocol that can support a limited and balanced participation of both buyers and content providers in the purchase transactions of protected digital content. Moreover, the protocol can avoid the direct involvement of trusted third parties in the purchase transactions. This can reduce the actual risk that buyers or sellers can violate the protocol by illicitly interacting with trusted third parties. In fact, such peculiarities make the proposed protocol suited for the current web context.